Emotionally Expressive Head and Body Movement During Gaze Shifts. - Brent Lance; Stacy Marsella (IVA, 2007)

The Rickel Gaze Model: A Window on the Mind of a Virtual Human. - Jina Lee; Stacy Marsella; David R. Traum; Jonathan Gratch; Brent Lance (IVA, 2007)

A model of gaze for the purpose of emotional expression in virtual embodied agents. - Brent J. Lance; Stacy Marsella (AAMAS (1), 2008)

The Relation between Gaze Behavior and the Attribution of Emotion: An Empirical Study. - Brent Lance; Stacy Marsella (IVA, 2008)

Real-time expressive gaze animation for virtual humans. - Marcus Thiébaux; Brent Lance; Stacy Marsella (AAMAS (1), 2009)

Glances, glares, and glowering: how should a virtual human express emotion through gaze? - Brent Lance; Stacy Marsella (Auton. Agents Multi Agent Syst., 2010)

The Expressive Gaze Model: Using Gaze to Express Emotion. - Brent J. Lance; Stacy C. Marsella (IEEE Computer Graphics and Applications, 2010)

Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task. - Dongrui Wu; Christopher G. Courtney; Brent J. Lance; Shrikanth S. Narayanan; Michael E. Dawson; Kelvin S. Oie; Thomas D. Parsons (IEEE Trans. Affect. Comput., 2010)

Classifying High-Noise EEG in Complex Environments for Brain-Computer Interaction Technologies. - Brent Lance; Stephen M. Gordon; Jean M. Vettel; Tony Johnson; Victor Paul; Chris Manteuffel; Matthew Jaswa; Kelvin S. Oie (ACII (2), 2011)

Brain-Computer Interface Technologies in the Coming Decades. - Brent J. Lance; Scott E. Kerick; Anthony J. Ries; Kelvin S. Oie; Kaleb McDowell (Proc. IEEE, 2012)

Combined Linear Regression and Quadratic Classification Approach for an EEG-Based Prediction of Driver Performance. - Gregory Apker; Brent Lance; Scott E. Kerick; Kaleb McDowell (HCI (24), 2013)

Translation of EEG-Based Performance Prediction Models to Rapid Serial Visual Presentation Tasks. - Jon Touryan; Gregory Apker; Scott E. Kerick; Brent Lance; Anthony J. Ries; Kaleb McDowell (HCI (24), 2013)

A bag-of-words model for task-load prediction from EEG in complex environments. - Lenis Mauricio Merino; Jia Meng 001; Stephen M. Gordon; Brent J. Lance; Tony Johnson; Victor Paul; Kay Robbins; Jean M. Vettel; Yufei Huang 001 (ICASSP, 2013)

Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. - Zijing Mao; Vernon Lawhern; Lenis Mauricio Merino; Kenneth Ball; Li Deng; Brent J. Lance; Kay Robbins; Yufei Huang 001 (ChinaSIP, 2014)

Confidence metrics improve human-autonomy integration. - Amar R. Marathe; Brent J. Lance; Kaleb McDowell; William D. Nothwang; Jason S. Metcalfe (HRI, 2014)

Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials. - Dongrui Wu; Brent Lance; Vernon Lawhern (SMC, 2014)

Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection. - Dongrui Wu; Vernon J. Lawhern; Brent J. Lance (ACII, 2015)

Target Class Induction through Image Feedback Manipulation in Rapid Serial Visual Presentation Experiments. - Justin Brooks; David Slayback; Benjamin Shih; Amar R. Marathe; Vernon Lawhern; Brent J. Lance (SMC, 2015)

Efficient Labeling of EEG Signal Artifacts Using Active Learning. - Vernon Lawhern; David Slayback; Dongrui Wu; Brent J. Lance (SMC, 2015)

Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection. - Dongrui Wu; Vernon J. Lawhern; Brent J. Lance (SMC, 2015)

The use of eye metrics to index cognitive workload in video games. - Rohit Mallick; David Slayback; Jon Touryan; Anthony J. Ries; Brent J. Lance (ETVIS, 2016)

Collaborative image triage with humans and computer vision. - Addison W. Bohannon; Nicholas R. Waytowich; Vernon J. Lawhern; Brian M. Sadler; Brent J. Lance (SMC, 2016)

Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (SMC, 2016)

Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (SMC, 2016)

Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (SMC, 2016)

Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. - Sameer Saproo; Josef Faller; Victor Shih; Paul Sajda; Nicholas R. Waytowich; Addison W. Bohannon; Vernon J. Lawhern; Brent J. Lance; David C. Jangraw (Computer, 2016)

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. - Vernon J. Lawhern; Amelia J. Solon; Nicholas R. Waytowich; Stephen M. Gordon; Chou P. Hung; Brent J. Lance (CoRR, 2016)

Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task. - Amelia J. Solon; Stephen M. Gordon; Brent Lance; Vernon Lawhern (NTCIR, 2017)

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization. - Dongrui Wu; Vernon J. Lawhern; W. David Hairston; Brent J. Lance (CoRR, 2017)

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. - Dongrui Wu; Brent J. Lance; Vernon J. Lawhern; Stephen M. Gordon; Tzyy-Ping Jung; Chin-Teng Lin (CoRR, 2017)

Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2017)

Guest Editorial for the Special Section on Brain Computer Interface (BCI). - Dongrui Wu; Brent J. Lance; Vernon J. Lawhern (IEEE Trans. Fuzzy Syst., 2017)

Effects of Image Presentation Highlighting and Accuracy on Target Category Learning. - David Slayback; Benjamin T. Files; Brent J. Lance; Justin Brooks (IEEE Trans. Hum. Mach. Syst., 2018)

Pareto Optimal Streaming Unsupervised Classification. - Soumya Basu 001; Steven Gutstein; Brent Lance; Sanjay Shakkottai (ICML, 2019)

Development of a Game with a Purpose for Acquisition of Brain-Computer Interface Data. - Joe T. Rexwinkle; Gregory Lieberman; Matthew Jaswa; Brent J. Lance (CoRR, 2019)

Human Performance with Complex Technology: How Visual Cognition Is Critical to Enhanced Performance with Aided Target Recognition (AiTR). - Gabriella Brick Larkin; Michael N. Geuss; Alfred Yu; Chloe Callahan-Flintoft; Joe T. Rexwinkle; Chou P. Hung; Brent J. Lance (AHFE (1), 2020)

Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? - Steven Gutstein; Brent Lance; Sanjay Shakkottai (CoRR, 2021)

Alpha Correlates of Practice During Mental Preparation for Motor Imagery. - Mauro Nascimben; Yu-Kai Wang; Jung-Tai King; Tzyy-Ping Jung; Jonathan Touryan; Brent J. Lance; Chin-Teng Lin (IEEE Trans. Cogn. Dev. Syst., 2022)

Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic Overhead Imagery. - Mikael Yeghiazaryan; Sai Abhishek Si Namburu; Emily Kim; Stanislav Panev; Celso de Melo; Brent Lance; Fernando De la Torre; Jessica K. Hodgins (CoRR, 2024)